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Paper · arXiv

Multi-Agent-Based Simulation of Archaeological Mobility in Uneven Landscapes

Understanding mobility, movement, and interaction in archaeological landscapes is essential for interpreting past human behavior, transport strategies, and spatial organization, yet such processes are difficult to reconstruct from static archaeological evidence alone. This paper presents a multi-agent-based modeling framework for simulating archaeological mobility in uneven landscapes, integrating realistic terrain reconstruction, heterogeneous agent modeling, and adaptive navigation strategies. The proposed approach combines global path planning with local dynamic adaptation, through reinforcment learning, enabling agents to respond efficiently to dynamic obstacles and interactions witho...

AuthorsChairi Kiourt, Vassilis Evangelidis, Dimitris Grigoropoulos
Primary categorycs.RO
Published3 March 2026
Last updated at source3 March 2026
cs.ROcs.AI
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